Spatial analysis of disease patterns is a robust and low-cost approach for detecting a concentration, or cluster, of outcomes in preparation for targeting prevention and intervention measures (Jerrett et al. [2005]; Musenge et al. [2013]; Cheung et al. [2012]; Takahashi et al. [2008]; MacKinnon et al. [2007]; Green et al. [2003]).
Progress monitoring is essential for determining whether or not a treatment has produced meaningful outcomes for target clients.
The main difference between social franchising and commercial franchising is that the former focuses on achieving social good such as improved health outcomes for target populations, while the latter is largely for-profit [Table 2].
Further, xenoestrogenic responses may activate or inhibit different genes at various doses, which may result in different outcomes for target end points examined at the same time points (Coser et al. 2003).
The consistency of spatial patterns over time and between birth outcomes strengthens the case for targeting high risk areas for improved outcomes.
Being able to identify individuals and groups who are social vulnerable could be useful for prediction of health outcomes as well as for targeting of interventions and design of specialized programs.
In this case study, we show that the applicability of the Ecological Footprint, an overarching outcome measure of resource consumption, for targeting climate change mitigation in cities.
"Pretty good" may be a great outcome for ad targeting.
The premature drug release of the payload drug from nanocarriers diminishes the outcome of nanoformulations for targeted drug delivery, yielding only marginal improved therapeutic index and toxicity profile.
It is unclear to what extent mRNA degradation and translational inhibition coincide, but steady state levels suggest that mRNA degradation serves as the major final outcome for miRNA targeted transcripts.
